Data Engineer

Design, develop, and maintain ETL pipelines involving large-scale data . Develop data processing and analytics applications primarily using PySpark and Python . Build scalable and distributed data processing solutions using Apache Spark . Develop and deploy data applications on AWS cloud . Work with AWS services related to storage, compute, ETL, data warehousing, analytics, and streaming . Implement distributed storage and processing solutions capable of handling high-volume datasets.